Frontiers in Energy Research

Original Research

Published on 12 Nov 2024

Line-parameter identification of medium-voltage distribution systems based on deep deterministic policy gradients

in Smart Grids

Xuebao Jiang
Liudi Fu
Chenbin Zhou
Kang Chen
Yang Xu
Bowen Wu

Frontiers in Energy Research

doi 10.3389/fenrg.2024.1457237

1,179 views

Original Research

Published on 08 Nov 2024

Research on static voltage stability enhancement for new energy station based on grid-forming control strategy

in Smart Grids

Sun Wentao
Liu Guojing
Ge Yi
Wang Quanquan
Cai Hui
Han Xingning
Zhang Wenjia

Frontiers in Energy Research

doi 10.3389/fenrg.2024.1463229

1,447 views
1 citation

Original Research

Published on 05 Nov 2024

Application of deep forest algorithm incorporating seasonality and temporal correlation for wind speed prediction in offshore wind farm

in Smart Grids

Haipeng Fang
Shuo Lin
Jinglin Zhu
Weixiao Lu

Frontiers in Energy Research

doi 10.3389/fenrg.2024.1488718

1,280 views
1 citation

Original Research

Published on 04 Nov 2024

A multi-task learning based line parameter identification method for medium-voltage distribution network

in Smart Grids

Xuebao Jiang
Chenbin Zhou
Qi Pan
Liang Wang
Bowen Wu
Yang Xu
Kang Chen
Liudi Fu

Frontiers in Energy Research

doi 10.3389/fenrg.2024.1485369

1,644 views
2 citations

Original Research

Published on 31 Oct 2024

Research on urban power load forecasting based on improved LSTM

in Smart Grids

Zhou Zhenglei
Chen Jun
Yang Zhou
Wu Wenguang
Ding Hong

Frontiers in Energy Research

doi 10.3389/fenrg.2024.1443814

2,042 views

Original Research

Published on 31 Oct 2024

A non-intrusive fine-grained load identification method based on three-dimensional voltage–current trajectories

in Smart Grids

Haihong Bian
Zhiyuan Zhang

Frontiers in Energy Research

doi 10.3389/fenrg.2024.1479995

1,509 views
1 citation

Original Research

Published on 29 Oct 2024

Robust optimization bidding strategy for user-side resource-side participation in the market distribution of electrical energy and peaking ancillary services considering risk expectations and opportunity constraints

in Smart Grids

Jiao Wang
Jinyan Hu
Zhichao Bai
Hao He
Mingxin Tang

Frontiers in Energy Research

doi 10.3389/fenrg.2024.1469739

1,056 views

Original Research

Published on 24 Oct 2024

Lithium-ion battery SOH estimation method based on multi-feature and CNN-KAN

in Smart Grids

Zhao Zhang
Xin Liu
Runrun Zhang
Xu Ming Liu
Shi Chen
Zhexuan Sun
Heng Jiang

Frontiers in Energy Research

doi 10.3389/fenrg.2024.1494473

11,463 views
7 citations

Original Research

Published on 24 Oct 2024

A method of determining the carbon emission reduction contribution of regional distribution networks based on spherical fuzzy sets

in Smart Grids

Puliang Du
Miaoheng Yang
Wei Hu
Pengfei Wang
Qiang Xing

Frontiers in Energy Research

doi 10.3389/fenrg.2024.1486359

1,161 views

Review

Published on 23 Oct 2024

Integration of blockchain with artificial intelligence technologies in the energy sector: a systematic review

in Smart Grids

Al Mothana Al Shareef
Serap Seçkiner
Bilal Eid
Hasan Abumeteir

Frontiers in Energy Research

doi 10.3389/fenrg.2024.1377950

18,554 views
22 citations

Original Research

Published on 22 Oct 2024

Application of intelligent self-organizing algorithms in UAV cooperative inspection of power distribution networks

in Smart Grids

Zeyu Sun
Jiacheng Liao

Frontiers in Energy Research

doi 10.3389/fenrg.2024.1418907

1,944 views
2 citations

Original Research

Published on 22 Oct 2024

Dynamic state awareness for distribution network based on robust adaptive cubature kalman filter

in Smart Grids

Ruihai Dai
Yanzhen Wan
Deqiang Lian
Liguo Weng
Xiao Tang
Jianfei Wang

Frontiers in Energy Research

doi 10.3389/fenrg.2024.1477597

1,186 views

Original Research

Published on 22 Oct 2024

The design of a model predictive control strategy and performance analysis for pumped storage units and super capacitors in power systems

in Smart Grids

Wang Zhidong
Han Xiaonan
Wang Ying

Frontiers in Energy Research

doi 10.3389/fenrg.2024.1425169

1,241 views

Original Research

Published on 18 Oct 2024

A comparative study of different deep learning methods for time-series probabilistic residential load power forecasting

in Smart Grids

Liangcai Zhou
Yi Zhou
Linlin Liu
Xiaoying Zhao

Frontiers in Energy Research

doi 10.3389/fenrg.2024.1490152

1,663 views
1 citation

Original Research

Published on 17 Oct 2024

Two-stage transient stability assessment using ensemble learning and cost sensitivity

in Smart Grids

Aoyu Lei
Yong Mei
Dexin Ma
Zining Liu
Wenwei Tao
Fangneng Huang

Frontiers in Energy Research

doi 10.3389/fenrg.2024.1491846

1,316 views
1 citation

Original Research

Published on 16 Oct 2024

A study of short-term wind power segmentation forecasting method considering weather on ramp segments

in Smart Grids

Chunxiang Yang
Guodong Wu
Yongrui Zhang
Guangqing Bao
Jianhui Wang

Frontiers in Energy Research

doi 10.3389/fenrg.2024.1474969

1,715 views
3 citations

Original Research

Published on 16 Oct 2024

Research on optimal configuration of mobile energy storage in distribution networks considering various energy utilization efficiencies

in Smart Grids

Dong Fu
Bin Li
Liangzhi Yin
Xuebin Sun
Hong Cui

Frontiers in Energy Research

doi 10.3389/fenrg.2024.1388681

1,644 views
2 citations

Original Research

Published on 15 Oct 2024

Three-stage resilience enhancement via optimal dispatch and reconfiguration for a microgrid

in Smart Grids

Yi-Syuan Wu
Jian-Tang Liao
Hong-Tzer Yang

Frontiers in Energy Research

doi 10.3389/fenrg.2024.1461383

1,672 views
1 citation

Original Research

Published on 11 Oct 2024

A new grid side inertia support control method for cascaded power converters in Bi-directional EV chargers

in Smart Grids

Yan Tian
Bo Huang
Jian Fang
Wei Chen
Yu Xin
Haobo Lin
Xiang Lin

Frontiers in Energy Research

doi 10.3389/fenrg.2024.1396969

1,291 views

Methods

Published on 11 Oct 2024

Bad data identification method considering the on-load tap changer model

in Smart Grids

Shiyao Hu
Chunyan Rong
Mengnan Zhang
Linjie Chai
Yuxuan Ma
Tianlei Zhang

Frontiers in Energy Research

doi 10.3389/fenrg.2024.1478834

1,406 views

Original Research

Published on 10 Oct 2024

Load frequency optimal control of the hydropower-photovoltaic hybrid microgrid system based on the off-policy integral reinforcement learning algorithm

in Smart Grids

Enzhong Wang
Lin Yuan
Fanfei Zeng
Xiaoheng Liu
Jiannan Liu
Lingfang Sun
Min Zhuang

Frontiers in Energy Research

doi 10.3389/fenrg.2024.1464722

1,615 views
1 citation

Original Research

Published on 09 Oct 2024

Research on single-phase grounding detection method in small-current grounding systems based on image recognition

in Smart Grids

Guangfen Wan
Xuekun Xu

Frontiers in Energy Research

doi 10.3389/fenrg.2024.1473472

1,530 views
3 citations

Original Research

Published on 08 Oct 2024

Active power balance control of wind-photovoltaic-storage power system based on transfer learning double deep Q-network approach

in Smart Grids

Jun Xiao
Wen Zhao
Wei Li
Yankai Zhao
Yongzhi Li
Xudong Ma
Yuchao Liu

Frontiers in Energy Research

doi 10.3389/fenrg.2024.1448046

1,389 views
1 citation

Original Research

Published on 07 Oct 2024

Dynamic adaptation in power transmission: integrating robust optimization with online learning for renewable uncertainties

in Smart Grids

Cai Dongyang
Zuo Jiewen
Hao Xiaolong

Frontiers in Energy Research

doi 10.3389/fenrg.2024.1483170

1,985 views
5 citations

1,609 articles

articles

Line-parameter identification of medium-voltage distribution systems based on deep deterministic policy gradients

Research on static voltage stability enhancement for new energy station based on grid-forming control strategy

Application of deep forest algorithm incorporating seasonality and temporal correlation for wind speed prediction in offshore wind farm

A multi-task learning based line parameter identification method for medium-voltage distribution network

Research on urban power load forecasting based on improved LSTM

A non-intrusive fine-grained load identification method based on three-dimensional voltage–current trajectories

Robust optimization bidding strategy for user-side resource-side participation in the market distribution of electrical energy and peaking ancillary services considering risk expectations and opportunity constraints

Lithium-ion battery SOH estimation method based on multi-feature and CNN-KAN

A method of determining the carbon emission reduction contribution of regional distribution networks based on spherical fuzzy sets

Integration of blockchain with artificial intelligence technologies in the energy sector: a systematic review

Application of intelligent self-organizing algorithms in UAV cooperative inspection of power distribution networks

Dynamic state awareness for distribution network based on robust adaptive cubature kalman filter

The design of a model predictive control strategy and performance analysis for pumped storage units and super capacitors in power systems

A comparative study of different deep learning methods for time-series probabilistic residential load power forecasting

Two-stage transient stability assessment using ensemble learning and cost sensitivity

A study of short-term wind power segmentation forecasting method considering weather on ramp segments

Research on optimal configuration of mobile energy storage in distribution networks considering various energy utilization efficiencies

Three-stage resilience enhancement via optimal dispatch and reconfiguration for a microgrid

A new grid side inertia support control method for cascaded power converters in Bi-directional EV chargers

Bad data identification method considering the on-load tap changer model

Load frequency optimal control of the hydropower-photovoltaic hybrid microgrid system based on the off-policy integral reinforcement learning algorithm

Research on single-phase grounding detection method in small-current grounding systems based on image recognition

Active power balance control of wind-photovoltaic-storage power system based on transfer learning double deep Q-network approach

Dynamic adaptation in power transmission: integrating robust optimization with online learning for renewable uncertainties